The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On 

## [1] "2020-04-16"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "2152647 (up from 2056055 yesterday: 4.7 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "143802 (up from 134178 yesterday: 7.17 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 6.68



In- Depth Country Wise Stats (With Atleast 1000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 667801 31451 4.94 32917 4591 16.21 4.93
Spain 184948 7304 4.11 19315 607 3.24 10.44
Italy 168941 3786 2.29 22170 525 2.43 13.12
France 147091 12509 9.29 17941 753 4.38 12.20
Germany 137698 2945 2.19 4052 248 6.52 2.94
United Kingdom 104145 4662 4.69 13759 865 6.71 13.21
China 83403 47 0.06 3346 0 0.00 4.01
Iran 77995 1606 2.10 4869 92 1.93 6.24
Turkey 74193 4801 6.92 1643 125 8.23 2.21
Belgium 34809 1236 3.68 4857 417 9.39 13.95
Canada 30809 2600 9.22 1258 251 24.93 4.08
Brazil 30425 2105 7.43 1924 188 10.83 6.32
Netherlands 29383 1067 3.77 3327 182 5.79 11.32
Russia 27938 3448 14.08 232 34 17.17 0.83
Switzerland 26732 396 1.50 1281 42 3.39 4.79
Portugal 18841 750 4.15 629 30 5.01 3.34
Austria 14476 140 0.98 410 17 4.33 2.83
India 13430 1108 8.99 448 43 10.62 3.34
Ireland 13271 724 5.77 486 42 9.46 3.66
Israel 12758 257 2.06 142 12 9.23 1.11
Sweden 12540 613 5.14 1333 130 10.81 10.63
Peru 12491 1016 8.85 274 20 7.87 2.19
Korea, South 10613 22 0.21 229 4 1.78 2.16
Chile 8807 534 6.45 105 11 11.70 1.19
Japan 8626 526 6.49 178 32 21.92 2.06
Ecuador 8225 367 4.67 403 15 3.87 4.90
Poland 7918 336 4.43 314 28 9.79 3.97
Romania 7707 491 6.80 392 20 5.38 5.09
Denmark 7074 198 2.88 321 12 3.88 4.54
Pakistan 6919 536 8.40 128 17 15.32 1.85
Norway 6896 156 2.31 152 2 1.33 2.20
Australia 6462 22 0.34 63 0 0.00 0.97
Czechia 6433 217 3.49 169 3 1.81 2.63
Saudi Arabia 6380 518 8.84 83 4 5.06 1.30
Mexico 5847 448 8.30 449 43 10.59 7.68
United Arab Emirates 5825 460 8.57 35 2 6.06 0.60
Philippines 5660 207 3.80 362 13 3.72 6.40
Indonesia 5516 380 7.40 496 27 5.76 8.99
Serbia 5318 445 9.13 103 4 4.04 1.94
Malaysia 5182 110 2.17 84 1 1.20 1.62
Singapore 4427 728 19.68 10 0 0.00 0.23
Belarus 4204 476 12.77 40 4 11.11 0.95
Ukraine 4161 397 10.55 116 8 7.41 2.79
Qatar 4103 392 10.56 7 0 0.00 0.17
Dominican Republic 3755 141 3.90 196 7 3.70 5.22
Panama 3751 177 4.95 103 8 8.42 2.75
Luxembourg 3444 71 2.10 69 0 0.00 2.00
Finland 3369 132 4.08 75 3 4.17 2.23
Colombia 3233 128 4.12 144 13 9.92 4.45
Egypt 2673 168 6.71 196 13 7.10 7.33
Thailand 2672 29 1.10 46 3 6.98 1.72
South Africa 2605 99 3.95 48 14 41.18 1.84
Argentina 2571 128 5.24 115 4 3.60 4.47
Morocco 2283 259 12.80 130 3 2.36 5.69
Algeria 2268 108 5.00 348 12 3.57 15.34
Greece 2207 15 0.68 105 3 2.94 4.76
Moldova 2154 105 5.12 54 8 17.39 2.51
Croatia 1791 50 2.87 35 2 6.06 1.95
Iceland 1739 12 0.69 8 0 0.00 0.46
Bahrain 1700 29 1.74 7 0 0.00 0.41
Hungary 1652 73 4.62 142 8 5.97 8.60
Bangladesh 1572 341 27.70 60 10 20.00 3.82
Kuwait 1524 119 8.47 3 0 0.00 0.20
Estonia 1434 34 2.43 36 1 2.86 2.51
Iraq 1434 19 1.34 80 1 1.27 5.58
Kazakhstan 1402 107 8.26 17 1 6.25 1.21
New Zealand 1401 15 1.08 9 0 0.00 0.64
Uzbekistan 1349 47 3.61 4 0 0.00 0.30
Azerbaijan 1283 30 2.39 15 2 15.38 1.17
Slovenia 1268 20 1.60 61 0 0.00 4.81
Bosnia and Herzegovina 1167 57 5.14 43 2 4.88 3.68
Armenia 1159 48 4.32 18 1 5.88 1.55
Lithuania 1128 37 3.39 32 2 6.67 2.84
North Macedonia 1081 107 10.99 46 1 2.22 4.26
Oman 1019 109 11.98 4 0 0.00 0.39

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 223691 9237 4.31 14832 3215 27.67 6.63 11498.72 762.43 1 in 87
New Jersey 75317 4287 6.04 3518 362 11.47 4.67 8479.55 396.07 1 in 118
Massachusetts 32181 2263 7.56 1108 0 0.00 3.44 4630.69 159.44 1 in 216
Michigan 28809 750 2.67 1996 75 3.90 6.93 2884.69 199.86 1 in 347
Pennsylvania 28258 1505 5.63 841 62 7.96 2.98 2207.31 65.69 1 in 453
California 27677 991 3.71 957 96 11.15 3.46 700.47 24.22 1 in 1428
Illinois 25734 1141 4.64 1072 123 12.96 4.17 2030.81 84.60 1 in 492
Florida 23343 832 3.70 668 72 12.08 2.86 1086.85 31.10 1 in 920
Louisiana 22532 581 2.65 1156 53 4.81 5.13 4846.85 248.67 1 in 206
Texas 16876 969 6.09 414 39 10.40 2.45 582.01 14.28 1 in 1718
Connecticut 15884 1129 7.65 971 103 11.87 6.11 4455.18 272.35 1 in 224
Georgia 15669 682 4.55 587 35 6.34 3.75 1475.78 55.29 1 in 678
Washington 11057 115 1.05 579 27 4.89 5.24 1452.02 76.04 1 in 689
Maryland 10784 752 7.50 319 8 2.57 2.96 1783.75 52.76 1 in 561
Indiana 9542 582 6.50 477 41 9.40 5.00 1417.36 70.85 1 in 706
Ohio 8414 620 7.95 407 45 12.43 4.84 719.82 34.82 1 in 1389
Colorado 8286 330 4.15 355 27 8.23 4.28 1438.86 61.65 1 in 695
Virginia 6889 389 5.98 208 13 6.67 3.02 807.10 24.37 1 in 1239
Tennessee 6375 548 9.40 136 12 9.68 2.13 932.95 19.90 1 in 1072
North Carolina 5639 299 5.60 150 20 15.38 2.66 537.66 14.30 1 in 1860
Missouri 5174 383 7.99 169 16 10.46 3.27 843.02 27.54 1 in 1186
Alabama 4345 270 6.63 133 15 12.71 3.06 886.16 27.13 1 in 1128
Arizona 4237 273 6.89 150 8 5.63 3.54 556.41 19.70 1 in 1797
South Carolina 3931 275 7.52 111 5 4.72 2.82 763.49 21.56 1 in 1310
Wisconsin 3875 154 4.14 197 14 7.65 5.08 665.53 33.83 1 in 1503
Mississippi 3624 264 7.86 129 7 5.74 3.56 1217.68 43.34 1 in 821
Rhode Island 3529 278 8.55 87 7 8.75 2.47 3331.25 82.12 1 in 300
Nevada 3214 3 0.09 137 6 4.58 4.26 1043.45 44.48 1 in 958
Utah 2683 135 5.30 20 0 0.00 0.75 836.88 6.24 1 in 1195
Kentucky 2435 225 10.18 129 14 12.17 5.30 545.03 28.87 1 in 1835
Oklahoma 2357 94 4.15 131 8 6.50 5.56 595.66 33.11 1 in 1679
District of Columbia 2350 153 6.96 81 9 12.50 3.45 3329.80 114.77 1 in 300
Iowa 2141 146 7.32 60 7 13.21 2.80 678.59 19.02 1 in 1474
Delaware 2070 56 2.78 55 9 19.57 2.66 2125.77 56.48 1 in 470
Minnesota 1809 0 0.00 87 0 0.00 4.81 320.77 15.43 1 in 3118
Oregon 1736 73 4.39 64 6 10.34 3.69 411.60 15.17 1 in 2430
Arkansas 1620 51 3.25 37 4 12.12 2.28 536.81 12.26 1 in 1863
Kansas 1615 111 7.38 80 9 12.68 4.95 554.35 27.46 1 in 1804
Idaho 1587 114 7.74 41 2 5.13 2.58 885.57 22.88 1 in 1129
New Mexico 1484 0 0.00 36 0 0.00 2.43 707.74 17.17 1 in 1413
South Dakota 1311 143 12.24 7 1 16.67 0.53 1481.93 7.91 1 in 675
New Hampshire 1139 0 0.00 32 0 0.00 2.81 837.68 23.53 1 in 1194
Puerto Rico 1043 69 7.08 56 5 9.80 5.37 326.58 17.53 1 in 3062
Nebraska 952 51 5.66 21 1 5.00 2.21 492.14 10.86 1 in 2032
Maine 796 26 3.38 27 3 12.50 3.39 592.17 20.09 1 in 1689
Vermont 774 15 1.98 33 4 13.79 4.26 1240.41 52.89 1 in 806
West Virginia 728 26 3.70 12 2 20.00 1.65 407.35 6.71 1 in 2455
Hawaii 530 6 1.15 9 0 0.00 1.70 374.33 6.36 1 in 2671
Montana 415 11 2.72 7 0 0.00 1.69 388.29 6.55 1 in 2575
North Dakota 393 28 7.67 9 0 0.00 2.29 515.71 11.81 1 in 1939
Alaska 300 7 2.39 9 0 0.00 3.00 410.09 12.30 1 in 2438
Wyoming 296 9 3.14 2 1 100.00 0.68 511.44 3.46 1 in 1955

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 232674 63094 941 1.51 27.12 11356 1032 33090 11608 18.40
Emilia-Romagna 112105 21486 457 2.17 19.17 3360 316 13663 2843 13.23
Piemonte 80708 19108 879 4.82 23.68 3418 346 13783 2094 10.96
Veneto 224549 14990 366 2.50 6.68 1388 209 10800 981 6.54
Toscana 91651 7943 277 3.61 8.67 940 213 6613 585 7.36
Liguria 26945 6039 103 1.74 22.41 957 103 3437 828 13.71
Marche 33778 5582 79 1.44 16.53 850 102 3124 764 13.69
Lazio 81993 5380 148 2.83 6.56 1347 197 4144 316 5.87
Campania 41296 3887 80 2.10 9.41 618 76 3118 286 7.36
P.A. Trento 20773 3294 74 2.30 15.86 296 43 2087 322 9.78
Puglia 36158 3258 74 2.32 9.01 603 58 2625 299 9.18
Friuli Venezia Giulia 35766 2616 72 2.83 7.31 159 26 1330 217 8.30
Sicilia 42405 2579 44 1.74 6.08 525 48 2108 187 7.25
Abruzzo 23786 2346 72 3.17 9.86 324 42 1850 243 10.36
P.A. Bolzano 26416 2267 43 1.93 8.58 180 34 1593 225 9.93
Umbria 21487 1329 7 0.53 6.19 116 33 536 55 4.14
Sardegna 12796 1164 3 0.26 9.10 109 24 865 85 7.30
Calabria 20642 1009 38 3.91 4.89 157 9 847 72 7.14
Valle d’Aosta 4159 971 13 1.36 23.35 105 12 518 122 12.56
Basilicata 5349 336 16 5.00 6.28 60 9 273 22 6.55
Molise 2967 263 0 0.00 8.86 25 4 203 16 6.08

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 15857 997 6.71 630 143 29.36 3.97 1857.30 73.79 1 in 538
Ontario 9840 1393 16.49 490 105 27.27 4.98 668.85 33.31 1 in 1495
Alberta 1996 126 6.74 48 0 0.00 2.40 452.29 10.88 1 in 2211
British Columbia 1561 44 2.90 75 3 4.17 4.80 305.42 14.67 1 in 3274
Nova Scotia 579 30 5.46 3 0 0.00 0.52 592.35 3.07 1 in 1688
Saskatchewan 305 1 0.33 4 0 0.00 1.31 258.11 3.39 1 in 3874
Newfoundland and Labrador 252 5 2.02 3 0 0.00 1.19 483.35 5.75 1 in 2069
Manitoba 250 4 1.63 5 0 0.00 2.00 181.49 3.63 1 in 5510
New Brunswick 117 0 0.00 0 0 NaN 0.00 150.00 0.00 1 in 6667
Prince Edward Island 26 0 0.00 0 0 NaN 0.00 164.39 0.00 1 in 6083
Yukon 8 0 0.00 0 0 NaN 0.00 194.75 0.00 1 in 5135
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 67803 3222 4.75
Guangdong 1571 8 0.51
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hunan 1019 4 0.39
Hong Kong 1017 4 0.39
Anhui 991 6 0.61
Jiangxi 937 1 0.11
Heilongjiang 861 13 1.51
Shandong 784 7 0.89
Jiangsu 653 0 0.00
Shanghai 628 7 1.11
Beijing 593 8 1.35
Chongqing 579 6 1.04
Sichuan 560 3 0.54
Fujian 353 1 0.28
Hebei 328 6 1.83
Shaanxi 256 3 1.17
Guangxi 254 2 0.79
Shanxi 194 0 0.00
Inner Mongolia 193 1 0.52
Tianjin 186 3 1.61
Yunnan 184 2 1.09
Hainan 168 6 3.57
Guizhou 146 2 1.37
Liaoning 145 2 1.38
Gansu 139 2 1.44
Jilin 102 1 0.98
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 2040.96 100.60 1 in 490
Spain 3963.74 413.95 1 in 252
Italy 2793.34 366.57 1 in 358
France 2195.72 267.82 1 in 455
Germany 1663.22 48.94 1 in 601
United Kingdom 1567.50 207.09 1 in 638
China 60.18 2.41 1 in 16618
Iran 961.00 59.99 1 in 1041
Turkey 918.12 20.33 1 in 1089
Belgium 3053.42 426.05 1 in 328
Canada 819.61 33.47 1 in 1220
Brazil 145.37 9.19 1 in 6879
Netherlands 1710.30 193.66 1 in 585
Russia 193.34 1.61 1 in 5172
Switzerland 3119.25 149.47 1 in 321
Portugal 1831.00 61.13 1 in 546
Austria 1640.90 46.47 1 in 609
India 10.03 0.33 1 in 99702
Ireland 2747.62 100.62 1 in 364
Israel 1464.42 16.30 1 in 683

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 123146 11477 9.32
Nassau New York 27772 1109 3.99
Suffolk New York 24812 693 2.79
Westchester New York 21828 668 3.06
Cook Illinois 18087 722 3.99
Wayne Michigan 12544 884 7.05
Bergen New Jersey 11409 668 5.86
Los Angeles California 10854 457 4.21
Hudson New Jersey 9165 365 3.98
Essex New Jersey 9084 642 7.07
Rockland New York 8752 319 3.64
Miami-Dade Florida 8326 183 2.20
Philadelphia Pennsylvania 8045 264 3.28
Union New Jersey 7904 301 3.81
Passaic New Jersey 7317 211 2.88
Middlesex Massachusetts 7206 221 3.07
Middlesex New Jersey 6994 278 3.97
Suffolk Massachusetts 6820 145 2.13
Fairfield Connecticut 6816 406 5.96
Orange New York 6266 204 3.26
Orleans Louisiana 5847 302 5.17
Oakland Michigan 5778 420 7.27
Jefferson Louisiana 5346 261 4.88
King Washington 4697 312 6.64
Harris Texas 4306 63 1.46
Monmouth New Jersey 4299 190 4.42
Ocean New Jersey 4272 185 4.33
Essex Massachusetts 4245 140 3.30
New Haven Connecticut 4163 214 5.14
Macomb Michigan 3992 354 8.87
Morris New Jersey 3701 216 5.84
Broward Florida 3466 101 2.91
Norfolk Massachusetts 3342 147 4.40
Marion Indiana 3320 164 4.94
Hartford Connecticut 2859 243 8.50
Prince George’s Maryland 2722 72 2.65
Clark Nevada 2559 115 4.49
Montgomery Pennsylvania 2544 89 3.50
Worcester Massachusetts 2503 74 2.96
Plymouth Massachusetts 2466 89 3.61
District of Columbia District of Columbia 2350 81 3.45
Maricopa Arizona 2264 64 2.83
Montgomery Maryland 2133 56 2.63
Riverside California 2105 54 2.57
Somerset New Jersey 2103 121 5.75
Dutchess New York 2085 19 0.91
Providence Rhode Island 2072 3 0.14
Dallas Texas 2066 50 2.42
Delaware Pennsylvania 2055 71 3.45
Mercer New Jersey 2037 87 4.27

Overall US Choropleth Map

Choropleths are an ideal way to visualize the COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Data Sources: CSSEGISandData, COVID India Org, The NY Times and pcm-dpc